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Planning a Machine Learning Project

Learn to assess and plan ML projects. Determine if ML is the right solution for your business problem.

Learn to assess and plan ML projects. Determine if ML is the right solution for your business problem.

This course introduces the key requirements for determining if machine learning (ML) is the appropriate solution to a business problem. Designed for business leaders and decision-makers involved or potentially involved in ML projects, it focuses on the critical planning phase of ML initiatives. The course aims to equip participants with the knowledge to evaluate the feasibility and potential impact of ML projects within their organizational context.

Instructors:

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Planning a Machine Learning Project

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,436

What you'll learn

  • Understand the key considerations in planning a machine learning project

  • Learn to assess if ML is the appropriate solution for a business problem

  • Identify the necessary resources and data requirements for ML projects

  • Understand the potential impacts and challenges of implementing ML solutions

  • Learn to align ML projects with business objectives and strategies

  • Develop skills to evaluate the feasibility of proposed ML initiatives

Skills you'll gain

machine learning
project planning
business strategy
data analysis
decision making
AI implementation
feasibility assessment
project management

This course includes:

PreRecorded video

1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There is 1 module in this course

This course provides a comprehensive introduction to planning machine learning (ML) projects in a business context. It focuses on helping business leaders and decision-makers understand the key requirements for determining whether ML is the appropriate solution to a given business problem. The curriculum covers essential aspects of ML project planning, including problem definition, data assessment, resource requirements, and potential impact evaluation. By the end of the course, participants will be equipped with the knowledge to make informed decisions about initiating ML projects and to effectively plan their implementation.

Planning a Machine Learning Project

Module 1 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

AWS Instructor
AWS Instructor

18,469 Students

130 Courses

Amazon Web Services

AWS is on a mission to accelerate the digital transformation of education in partnership with the full education community, including learners, educators, administrators, and researchers.

Planning a Machine Learning Project

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,436

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.